---- THIS POSITION HAS BEEN FILLED (Jan. 6, 2021) ----

The successful candidate will require a Ph.D. in Mechanical or Chemical 
Engineering, with a focus on computational fluid dynamics. Operative 
knowledge 
of the Eulerian computational models and methods for disperse multiphase 
flows.

Demonstrated ability to implement complex physical models and numerical 
methods in computational codes. Knowledge of the C and C++ programming 
languages.

The candidate is required to have a good knowledge of these two programming 
languages, to be independent in the implementation of computational models 
in 
the CFD codes used in the projects. Experience with ANSYS FLUENT and 
OpenFOAM®:

The candidate must be familiar with ANSYS® FLUENT® User Defined Functions 
(UDF) and with the structure of OpenFOAM®. The capability of implementing 
new 
models and sub-models, as well as of new numerical algorithms in these codes 
is a strong requirement, which will be explicitly assessed during the 
interview process. Excellent communication skills in both written and spoken 
English. Ability to write reports and prepare presentations to effectively 
communicate research results and progress to the project stakeholders. 
Independence and self-motivation. Ability of meeting deadlines and a strong 
commitment to working in a multidisciplinary research group, openly sharing 
results, challenges, and difficulties with the team with the goal of 
ensuring 
the success of the project.

Required Minimum Qualifications:
 
Ph.D. in Mechanical or Chemical Engineering.


Preferred Qualifications:

- Experience with managing large-scale simulations on high-performance 
compute 
clusters, including operative knowledge of queue systems, remote post-
processing. 

- Operative knowledge of the Eulerian computational models and methods for 
disperse multiphase flows.

Please apply at the website indicated below.